6.3.3 Execution Monitor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Monitoring job server alive . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 6.3.4 Console corresponding time point is reached. The registration cen‐ ter is only used for job registration and monitoring information storage. The main job node is only used to handle functions such as sharding and cleaning 6.1.2 Job Listener ElasticJob provides job listeners, which are used to perform monitoring methods before and after task execution. Listeners are divided into regular listeners executed

. . . . . . . . . . . . . . . . . . . . 55 iv Monitoring panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Monitoring application performance . . . . . . . . . . . . . logging are important ways to obtain observable data of system status. APM (application performance monitoring) is to monitor and diagnose the performance of the system by collecting, storing and analyzing analyzing the observable data of the system. Its main functions include per‐ formance index monitoring, call stack analysis, service topology, etc. Apache ShardingSphere is not responsible for gathering, storing

. . . . . . . . . . . . . . . . . . . . 55 iv Monitoring panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Monitoring application performance . . . . . . . . . . . . . logging are important ways to obtain observable data of system status. APM (application performance monitoring) is to monitor and diagnose the performance of the system by collecting, storing and analyzing analyzing the observable data of the system. Its main functions include per‐ formance index monitoring, call stack analysis, service topology, etc. Apache ShardingSphere is not responsible for gathering, storing

. . . . . . . . . . . . . . . . . . . . . . 52 Monitoring panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Monitoring application performance . . . . . . . . . . . . . logging are important ways to obtain observable data of system status. APM (application performance monitoring) is to monitor and diagnose the performance of the system by collecting, storing and analyzing analyzing the observable data of the system. Its main functions include per‐ formance index monitoring, call stack analysis, service topology, etc. Apache ShardingSphere is not responsible for gathering, storing

. . . . . . . . . . . . . . . . . . . . . . 51 Monitoring panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 Monitoring application performance . . . . . . . . . . . . . logging are important ways to obtain observable data of system status. APM (application performance monitoring) is to monitor and diagnose the performance of the system by collecting, storing and analyzing analyzing the observable data of the system. Its main functions include per‐ formance index monitoring, call stack analysis, service topology, etc. 3.10. Observability 49 Apache ShardingSphere document, v5

Challenges There is no unified database access protocol and SQL dialect, as well as the maintenance and monitoring methods differences by various databases, learning and maintenance cost of developers and DBAs logging are important ways to obtain observable data of system status. APM (application performance monitoring) is to monitor and diagnose the performance of the system by collecting, storing and analyzing analyzing the observable data of the system. Its main functions include per‐ formance index monitoring, call stack analysis, service topology, etc. Apache ShardingSphere is not responsible for gathering, storing

Challenges There is no unified database access protocol and SQL dialect, as well as the maintenance and monitoring methods differences by various databases, learning and maintenance cost of developers and DBAs logging are important ways to obtain observable data of system status. APM (application performance monitoring) is to monitor and diagnose the performance of the system by collecting, storing and analyzing analyzing the observable data of the system. Its main functions include per‐ formance index monitoring, call stack analysis, service topology, etc. Apache ShardingSphere is not responsible for gathering, storing

Challenges There is no unified database access protocol and SQL dialect, as well as the maintenance and monitoring methods differences by various databases, learning and maintenance cost of developers and DBAs APM Integration APM Integration Background APM is the abbreviation for application performance monitoring. Currently, main APM functions lie in the performance diagnosis of distributed systems, including

APM Integration APM Integration Background APM is the abbreviation for application performance monitoring. Currently, main APM functions lie in the performance diagnosis of distributed systems, including